1 - MLPDES25: Opening ceremony [ID:57417]
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So good morning, good morning.

We are colleagues and friends, friends and colleagues.

Welcome to Erlangen, welcome to Frederik Suleisander Universitat Erlangen, Nuremberg.

As you know, we are here on Erlangen campus, we have another campus in Nuremberg, also

other campuses in the area.

This is why the name of the university is Frederik Suleisander Universitat on the memory

of the founder of the university, plus Erlangen, Nuremberg.

So Emy Nother was born here in Erlangen.

You can actually visit the birth home of Emy Nother, Emy Nother mathematician that we all

know.

She used to say that the goal of mathematicians should not be to study objects, but rather

connections between objects.

And probably this is what inspired her celebrated theorem on the connection between symmetries

and conservation laws and invariances.

So after she got the PhD degree here at this university, she moved to Gottingen.

In Gottingen, he was in particular collaborating with David Hilbert and Felix Klein.

So it was a dream team.

Actually Felix Klein had been a professor here in Erlangen before, and this is why he

wrote his celebrated Erlangen program.

As you know, Felix Klein was very broad, he was not only interested in mathematical research,

but also in the history, education, he had this holistic view about mathematics.

He was working in this hyperbolic geometry, and he wrote this paper on this surface.

We were seeing the surface now, of course, according to the Murphy's principle, is gone

whenever I wanted to point to it.

But you have seen this bottle, it's kind of a three-dimensional Moebius band, so it's

a surface without an entrance or an exit.

As a bottle will not be a very interesting object, you cannot feel it, and if you can

feel it, then you cannot drink out of it.

But his paper was on this Flache, so Flache of Deutsch in Germany's surface.

But it seems that the translator, I mean, it was handwritten, the translator, when reading

this word Flache, and maybe influenced by the fact that he was visiting Erlangen and

he observed that beer was here very popular and very good, he understood it was written

Flache, so there is an extra S on the German word for bottle.

And now, because the surface looked like a bottle, then it remained like Klein bottle

that we know.

So therefore, connecting fields was one of the goals of all these individuals.

Of course, we still live on the ideas of David Hilbert, so if David Hilbert didn't say that

the Laplacian can be solved by minimizing an energy, probably we will not be here, right?

I mean, all we have learned starts by the fact that the Laplace equation can be solved

in Sobolev spaces by minimizing an energy, right?

But of course, this needed a lot of effort for generations, right?

So building Sobolev spaces, the theory of distributions, actually things are very curious,

right?

Because Sobolev was probably before Loran Svarts, who was the Fields Medal for the Theory of

Distributions, so well, it took some time until people figured out how things could

be done.

Now with machine learning, you don't need all this, right?

To some extent.

And this is why we are here in the right place to build connections, right?

So following this spirit of Felix Klein and Amy Noether, between different fields, and

Zugänglich über

Offener Zugang

Dauer

00:16:15 Min

Aufnahmedatum

2025-04-28

Hochgeladen am

2025-04-28 13:59:06

Sprache

en-US

#MLPDES25 Machine Learning and PDEs Workshop 
Mon. – Wed. April 28 – 30, 2025
HOST: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen – Bavaria (Germany)
 
SPEAKERS 
• Paola Antonietti. Politecnico di Milano
 • Alessandro Coclite. Politecnico di Bari
 • Fariba Fahroo. Air Force Office of Scientific Research
 • Giovanni Fantuzzi. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
 • Borjan Geshkovski. Inria, Sorbonne Université
 • Paola Goatin. Inria, Sophia-Antipolis
 • Shi Jin. SJTU, Shanghai Jiao Tong University 
 • Alexander Keimer. Universität Rostock
 • Felix J. Knutson. Air Force Office of Scientific Research
 • Anne Koelewijn. FAU MoD, Friedrich-Alexander-Universität Erlangen-Nürnberg
 • Günter Leugering. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
 • Lorenzo Liverani. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
 • Camilla Nobili. University of Surrey
 • Gianluca Orlando. Politecnico di Bari
 • Michele Palladino. Università degli Studi dell’Aquila
 • Gabriel Peyré. CNRS, ENS-PSL
 • Alessio Porretta. Università di Roma Tor Vergata
 • Francesco Regazzoni. Politecnico di Milano
 • Domènec Ruiz-Balet. Université Paris Dauphine
 • Daniel Tenbrinck. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg
 • Daniela Tonon. Università di Padova
 • Juncheng Wei. Chinese University of Hong Kong
 • Yaoyu Zhang. Shanghai Jiao Tong University
 • Wei Zhu. Georgia Institute of Technology
 
SCIENTIFIC COMMITTEE 
• Giuseppe Maria Coclite. Politecnico di Bari
• Enrique Zuazua. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
 
ORGANIZING COMMITTEE 
• Darlis Bracho Tudares. FAU MoD/DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
• Nicola De Nitti. Università di Pisa
• Lorenzo Liverani. FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg
 
Video teaser of the #MLPDES25 Workshop: https://youtu.be/4sJPBkXYw3M
 
 
#FAU #FAUMoD #MLPDES25 #workshop #erlangen #bavaria #germany #deutschland #mathematics #research #machinelearning #neuralnetworks
 

Tags

Erlangen mathematics Neural Network PDE Applied Mathematics FAU MoD Partial Differential Equations Bavaria Machine Learning FAU MoD workshop FAU
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